The latest articles on DEV Community by Gabriele Monti (@gabriele_monti_32e3e11bd1). https://dev.to/gabriele_monti_32e3e11bd1 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3838167%2Fdb94e3c1-dd88-4f95-b53f-49e36c747d2f.jpg https://dev.to/gabriele_monti_32e3e11bd1 en Gabriele Monti Sun, 22 Mar 2026 09:34:56 +0000 https://dev.to/gabriele_monti_32e3e11bd1/i-built-an-ai-tool-to-rank-200-cvs-in-seconds-fastapi-embeddings-999 https://dev.to/gabriele_monti_32e3e11bd1/i-built-an-ai-tool-to-rank-200-cvs-in-seconds-fastapi-embeddings-999 <h1> I built an AI tool to rank 200+ CVs in seconds (FastAPI + embeddings) </h1> <p>Small businesses post a job, get 200+ CVs and spend days reading them manually.</p> <p>Most end up skimming the first 50 and hoping for the best.</p> <p>I kept seeing this problem, so I built a simple tool to fix it.</p> <p>👉 <a href="https://cvbambam.com" rel="noopener noreferrer">Try it here</a></p> <h2> What it does </h2> <p>Upload a batch of CVs (PDF or DOCX), describe the role in plain English, and get a ranked shortlist in seconds.</p> <p>No filters, no complex setup.</p> <p>Just:</p> <ul> <li>Upload CVs </li> <li>Paste job description </li> <li>Get ranked candidates </li> </ul> <h2> Why I built it </h2> <p>I’ve worked with small teams and founders who don’t have HR departments.</p> <p>They don’t need another ATS.</p> <p>They just need:</p> <ul> <li>a quick way to <strong>not miss good candidates</strong> </li> <li>a way to <strong>avoid reading 200 PDFs manually</strong> </li> </ul> <h2> How it works </h2> <p>Each CV is converted into an embedding.</p> <p>The job description is also converted into an embedding.</p> <p>Then I calculate similarity between them and rank candidates.</p> <p>No keyword matching. No rules engine.</p> <h2> Tech stack </h2> <ul> <li>FastAPI </li> <li>SQLite </li> <li>Hugging Face Inference API (BGE embeddings) </li> <li>Tailwind CSS </li> <li>Hosted on Render </li> </ul> <p>Code is open here:<br><br> 👉 <a href="https://github.com/sedici16/cvbambam2" rel="noopener noreferrer">GitHub repo</a></p> <h2> Demo </h2> <div class="crayons-card c-embed text-styles text-styles--secondary"> <div class="c-embed__content"> <div class="c-embed__body flex items-center justify-between"> <a href="https://cvbambam.com" rel="noopener noreferrer" class="c-link fw-bold flex items-center"> <span class="mr-2">cvbambam.com</span> </a> </div> </div> </div> <h2> Things that surprised me </h2> <ul> <li>Embeddings outperform keyword matching by a lot </li> <li>CV parsing is messy (PDFs are chaos) </li> <li>Users don’t want features — they want results fast </li> </ul> <h2> What I’m exploring next </h2> <ul> <li>Handling very large batches efficiently </li> <li>Adding explainability (why a CV ranks higher) </li> <li>Whether recruiters would use something this simple </li> </ul> <h2> Try it </h2> <p>👉 <a href="https://cvbambam.com" rel="noopener noreferrer">https://cvbambam.com</a></p> <p>Would love feedback from developers or anyone involved in hiring.</p> ai productivity python showdev